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Academic Journal

Hands-on training about data clustering with orange data mining toolbox.

  • Authors : Demšar J; Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia.; Zupan B

Subjects: Data Mining*/Data Mining*/Data Mining*/methods ; Algorithms* ; Computational Biology*/Computational Biology*/Computational Biology*/education

  • Source: PLoS computational biology [PLoS Comput Biol] 2024 Dec 18; Vol. 20 (12), pp. e1012574. Date of Electronic Publication: 2024 Dec 18 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection

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Academic Journal

STEED: A data mining tool for automated extraction of experimental parameters and risk of bias items from in vivo publications.

  • Authors : Zurrer WE; Center for Reproducible Science, University of Zurich, Zurich, Switzerland.; Cannon AE

Subjects: Data Mining*/Data Mining*/Data Mining*/methods; Animals ; Humans

  • Source: PloS one [PLoS One] 2024 Nov 26; Vol. 19 (11), pp. e0311358. Date of Electronic Publication: 2024 Nov 26 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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Academic Journal

Enhancing tertiary students' programming skills with an explainable Educational Data Mining approach.

  • Authors : Islam MR; Department of Computer Science and Engineering, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh.; Nitu AM

Subjects: Data Mining*/Data Mining*/Data Mining*/methods ; Students*; Humans

  • Source: PloS one [PLoS One] 2024 Sep 03; Vol. 19 (9), pp. e0307536. Date of Electronic Publication: 2024 Sep 03 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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Academic Journal

Improved pore structure characterization and classification of strong diagenesis sandstones by data-mining analytics in Tazhong area, Tarim Basin.

  • Authors : Tian F; School of Geological and Mining Engineering, Xinjiang University, Urumqi, Xinjiang, China.; Xinjiang Key Laboratory for Geodynamic Processes and Metallogenic Prognosis of the Central Asian Orogenic Belt, Xinjiang, China.

Subjects: Data Mining*/Data Mining*/Data Mining*/methods; Principal Component Analysis ; Oil and Gas Fields

  • Source: PloS one [PLoS One] 2024 Aug 27; Vol. 19 (8), pp. e0309092. Date of Electronic Publication: 2024 Aug 27 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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Academic Journal

Analysis of user trends in digital health communities using big data mining.

  • Authors : Keinan R; Department of Computer Science, Lev Academic Center, Jerusalem College of Technology, Jerusalem, Israel.; Margalit E

Subjects: Data Mining*; Humans ; Male

  • Source: PloS one [PLoS One] 2024 Aug 26; Vol. 19 (8), pp. e0290803. Date of Electronic Publication: 2024 Aug 26 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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Academic Journal

The impact of directors' information technology experience on the financing constraints of internet start-ups-Data mining with python on the China's New OTC market.

  • Authors : Xu H; Business School, Shandong Xiehe University, Jinan, China.; Wang S

Subjects: Data Mining*/Data Mining*/Data Mining*/methods ; Internet* ; Information Technology*

  • Source: PloS one [PLoS One] 2024 Aug 09; Vol. 19 (8), pp. e0308325. Date of Electronic Publication: 2024 Aug 09 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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Academic Journal

Exploring the power of data mining for uncovering traditional medicinal plant knowledge: A case study in Shahrbabak, Iran.

  • Authors : Bibak H; Faculty of Science, Department of Biology, University of Jiroft, Jiroft, Iran.; Heydari F

Subjects: Plants, Medicinal*/Plants, Medicinal*/Plants, Medicinal*/classification ; Data Mining*/Data Mining*/Data Mining*/methods ; Medicine, Traditional*/Medicine, Traditional*/Medicine, Traditional*/methods

  • Source: PloS one [PLoS One] 2024 Jun 10; Vol. 19 (6), pp. e0303229. Date of Electronic Publication: 2024 Jun 10 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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Academic Journal

Analysis of contemporary value and influence of intangible cultural heritage based on online review mining.

  • Authors : Xu Q; Normal School, Jinhua University of Vocational Technology, Jinhua, Zhejiang, China.; Xu Y

Subjects: Data Mining*/Data Mining*/Data Mining*/methods; Humans ; Culture

  • Source: PloS one [PLoS One] 2024 Dec 19; Vol. 19 (12), pp. e0315805. Date of Electronic Publication: 2024 Dec 19 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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Academic Journal

Mining biology for antibiotic discovery.

  • Authors : de la Fuente-Nunez C; Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.; Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.

Subjects: Anti-Bacterial Agents*/Anti-Bacterial Agents*/Anti-Bacterial Agents*/pharmacology ; Drug Discovery*/Drug Discovery*/Drug Discovery*/methods ; Data Mining*/Data Mining*/Data Mining*/methods

  • Source: PLoS biology [PLoS Biol] 2024 Nov 26; Vol. 22 (11), pp. e3002946. Date of Electronic Publication: 2024 Nov 26 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101183755 Publication Model: eCollection

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Academic Journal

Using large administrative data for mining patients' trajectories for risk stratification: An example from urological diseases.

  • Authors : Koh HJW; Centre for Learning Analytics, Faculty of Information Technology, Monash University, Clayton, Australia.; Digital Health Cooperative Research Centre, Sydney, Australia.

Subjects: Urologic Diseases*/Urologic Diseases*/Urologic Diseases*/epidemiology ; Hospitalization*/Hospitalization*/Hospitalization*/statistics & numerical data ; Data Mining*

  • Source: PloS one [PLoS One] 2024 Nov 13; Vol. 19 (11), pp. e0310981. Date of Electronic Publication: 2024 Nov 13 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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  • 1-10 of  31,208 results for ""Data Mining""